Python: [BREAKING] Remove deprecated kwargs compatibility paths (#4858)

* [BREAKING] Remove deprecated kwargs compatibility paths

Remove the deprecated kwargs compatibility shims across core agents, clients, tools, middleware, and telemetry.

Keep workflow kwargs behavior intact in this branch and follow up separately in #4850.

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Fix PR CI fallout for kwargs removal

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Address PR review feedback

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* updates

* Fix Azure AI CI fallout

Remove the stale _get_current_conversation_id override from the Azure AI client after the OpenAI base helper was deleted.

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* fixed new classes

* Fix Assistants deprecated import gating

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Fix integration replay regressions

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Switch multi-agent hosting samples to Azure chat completions

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Simplify Azure multi-agent sample config

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

---------

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

python/samples/04-hosting/azure_functions/02_multi_agent/function_app.py

@@ -1,21 +1,20 @@
 # Copyright (c) Microsoft. All rights reserved.
 
-"""Host multiple Foundry-powered agents inside a single Azure Functions app.
+"""Host multiple Azure OpenAI-powered agents inside a single Azure Functions app.
 
 Components used in this sample:
-- FoundryChatClient to create agents bound to a shared Foundry deployment.
+- OpenAIChatCompletionClient configured for Azure OpenAI.
 - AgentFunctionApp to register multiple agents and expose dedicated HTTP endpoints.
 - Custom tool functions to demonstrate tool invocation from different agents.
 
-Prerequisites: set `FOUNDRY_PROJECT_ENDPOINT`, `FOUNDRY_MODEL`, and sign in with Azure CLI before starting the Functions host."""
+Prerequisites: set `AZURE_OPENAI_ENDPOINT`, `AZURE_OPENAI_DEPLOYMENT_NAME`, and sign in with Azure CLI before starting the Functions host."""
 
 import logging
-import os
 from typing import Any
 
 from agent_framework import Agent, tool
 from agent_framework.azure import AgentFunctionApp
-from agent_framework.foundry import FoundryChatClient
+from agent_framework.openai import OpenAIChatCompletionClient
 from azure.identity.aio import AzureCliCredential
 from dotenv import load_dotenv
 
@@ -60,9 +59,7 @@ def calculate_tip(bill_amount: float, tip_percentage: float = 15.0) -> dict[str,
 
 
 # 1. Create multiple agents, each with its own instruction set and tools.
-client = FoundryChatClient(
-    project_endpoint=os.environ["FOUNDRY_PROJECT_ENDPOINT"],
-    model=os.environ["FOUNDRY_MODEL"],
+client = OpenAIChatCompletionClient(
     credential=AzureCliCredential(),
 )
 

python/samples/04-hosting/durabletask/02_multi_agent/client.py

@@ -8,7 +8,7 @@ each with their own specialized capabilities and tools.
 
 Prerequisites:
 - The worker must be running with both agents registered
-- Set FOUNDRY_PROJECT_ENDPOINT and FOUNDRY_MODEL
+- Set AZURE_OPENAI_ENDPOINT and AZURE_OPENAI_DEPLOYMENT_NAME when running the worker
 - Sign in with Azure CLI for AzureCliCredential authentication
 - Durable Task Scheduler must be running
 """

python/samples/04-hosting/durabletask/02_multi_agent/sample.py

@@ -5,7 +5,7 @@ This sample demonstrates running both the worker and client in a single process
 for multiple agents with different tools. The worker registers two agents
 (WeatherAgent and MathAgent), each with their own specialized capabilities.
 Prerequisites:
-- Set FOUNDRY_PROJECT_ENDPOINT and FOUNDRY_MODEL
+- Set AZURE_OPENAI_ENDPOINT and AZURE_OPENAI_DEPLOYMENT_NAME
 - Sign in with Azure CLI for AzureCliCredential authentication
 - Durable Task Scheduler must be running (e.g., using Docker)
 To run this sample:

python/samples/04-hosting/durabletask/02_multi_agent/worker.py

@@ -1,13 +1,13 @@
 # Copyright (c) Microsoft. All rights reserved.
 
-"""Worker process for hosting multiple agents with different tools using Durable Task.
+"""Worker process for hosting multiple Azure OpenAI agents with different tools using Durable Task.
 
 This worker registers two agents - a weather assistant and a math assistant - each
 with their own specialized tools. This demonstrates how to host multiple agents
 with different capabilities in a single worker process.
 
 Prerequisites:
-- Set FOUNDRY_PROJECT_ENDPOINT and FOUNDRY_MODEL
+- Set AZURE_OPENAI_ENDPOINT and AZURE_OPENAI_DEPLOYMENT_NAME
 - Sign in with Azure CLI for AzureCliCredential authentication
 - Start a Durable Task Scheduler (e.g., using Docker)
 """
@@ -19,7 +19,7 @@ from typing import Any
 
 from agent_framework import Agent, tool
 from agent_framework.azure import DurableAIAgentWorker
-from agent_framework.foundry import FoundryChatClient
+from agent_framework.openai import OpenAIChatCompletionClient
 from azure.identity import AzureCliCredential
 from azure.identity.aio import AzureCliCredential as AsyncAzureCliCredential
 from dotenv import load_dotenv
@@ -73,13 +73,10 @@ def create_weather_agent():
     Returns:
         Agent: The configured Weather agent with weather tool
     """
-    _client = FoundryChatClient(
-        project_endpoint=os.environ["FOUNDRY_PROJECT_ENDPOINT"],
-        model=os.environ["FOUNDRY_MODEL"],
-        credential=AsyncAzureCliCredential(),
-    )
     return Agent(
-        client=_client,
+        client=OpenAIChatCompletionClient(
+            credential=AsyncAzureCliCredential(),
+        ),
         name=WEATHER_AGENT_NAME,
         instructions="You are a helpful weather assistant. Provide current weather information.",
         tools=[get_weather],
@@ -92,13 +89,10 @@ def create_math_agent():
     Returns:
         Agent: The configured Math agent with calculation tools
     """
-    _client = FoundryChatClient(
-        project_endpoint=os.environ["FOUNDRY_PROJECT_ENDPOINT"],
-        model=os.environ["FOUNDRY_MODEL"],
-        credential=AsyncAzureCliCredential(),
-    )
     return Agent(
-        client=_client,
+        client=OpenAIChatCompletionClient(
+            credential=AsyncAzureCliCredential(),
+        ),
         name=MATH_AGENT_NAME,
         instructions="You are a helpful math assistant. Help users with calculations like tip calculations.",
         tools=[calculate_tip],